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README.md CHANGED
@@ -1,27 +1,25 @@
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  ---
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  library_name: transformers
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- language:
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- - ar
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  license: apache-2.0
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- base_model: openai/whisper-base
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  tags:
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  - generated_from_trainer
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper base AR - BA
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # Whisper base AR - BA
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- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the quran-ayat-speech-to-text dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1146
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- - Wer: 0.2395
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  ## Model description
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@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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- | 6.2283 | 1.0 | 313 | 0.1208 | 0.2747 |
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- | 5.6174 | 2.0 | 626 | 0.1240 | 0.2641 |
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- | 4.1014 | 3.0 | 939 | 0.1180 | 0.2639 |
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- | 3.4699 | 4.0 | 1252 | 0.1206 | 0.2272 |
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- | 2.8022 | 5.0 | 1565 | 0.1198 | 0.2375 |
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- | 2.371 | 6.0 | 1878 | 0.1143 | 0.2325 |
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- | 2.1677 | 7.0 | 2191 | 0.1143 | 0.2337 |
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- | 1.9842 | 8.0 | 2504 | 0.1135 | 0.2305 |
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- | 1.787 | 9.0 | 2817 | 0.1124 | 0.2352 |
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- | 1.6133 | 10.0 | 3130 | 0.1123 | 0.2277 |
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- | 1.5033 | 11.0 | 3443 | 0.1119 | 0.2283 |
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- | 1.4237 | 12.0 | 3756 | 0.1115 | 0.2246 |
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- | 1.3321 | 13.0 | 4069 | 0.1115 | 0.2247 |
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- | 1.2518 | 14.0 | 4382 | 0.1113 | 0.2247 |
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- | 1.2225 | 14.9536 | 4680 | 0.1112 | 0.2275 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  license: apache-2.0
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+ base_model: Baselhany/Graduation_Project_Distilation_Whisper_base3
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  tags:
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  - generated_from_trainer
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  metrics:
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  - wer
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  model-index:
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+ - name: Graduation_Project_Distilation_Whisper_base3
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Graduation_Project_Distilation_Whisper_base3
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+ This model is a fine-tuned version of [Baselhany/Graduation_Project_Distilation_Whisper_base3](https://huggingface.co/Baselhany/Graduation_Project_Distilation_Whisper_base3) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1055
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+ - Wer: 0.2245
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 4.1388 | 1.0 | 313 | 0.1088 | 0.2255 |
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+ | 4.005 | 2.0 | 626 | 0.1127 | 0.2380 |
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+ | 3.1681 | 3.0 | 939 | 0.1117 | 0.2215 |
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+ | 2.4917 | 4.0 | 1252 | 0.1089 | 0.2202 |
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+ | 2.1826 | 5.0 | 1565 | 0.1062 | 0.2146 |
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+ | 1.9244 | 6.0 | 1878 | 0.1062 | 0.2263 |
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+ | 1.7281 | 7.0 | 2191 | 0.1032 | 0.2188 |
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+ | 1.5604 | 8.0 | 2504 | 0.1032 | 0.2193 |
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+ | 1.5071 | 9.0 | 2817 | 0.1031 | 0.2244 |
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+ | 1.3603 | 10.0 | 3130 | 0.1033 | 0.2122 |
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+ | 1.2858 | 11.0 | 3443 | 0.1022 | 0.2134 |
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+ | 1.1788 | 12.0 | 3756 | 0.1024 | 0.2106 |
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+ | 1.1271 | 13.0 | 4069 | 0.1015 | 0.2121 |
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+ | 1.0559 | 14.0 | 4382 | 0.1017 | 0.2098 |
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+ | 1.0875 | 14.9536 | 4680 | 0.1013 | 0.2103 |
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  ### Framework versions
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